The programme aims:
+ to provide graduates with a strong mathematical background with the necessary to apply their expertise to the solution of real finance problems.
+ to provide students with a systematic understanding of core areas in mathematical models, techniques, numerical methods and data analysis in finance as well as source advanced topics in one or more of these areas.
+to develop the students skills to formulate problems from a description in financial language; carry out relevant mathematical and/or statistical analysis; develop an appropriate numerical scheme and/or statistics algorithm and present and interpret these results.
+to lay the foundation for further research or for a career as a quantitative analyst into a financial or other institution

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The MSc starts two weeks before Michaelmas term with four introductory courses. The first term is devoted to the Core courses. Students attend two of the three Advanced streams (Tools, Modelling and Data-driven stream) in Hilary term and an intensive short course on Quantitative Risk Management.
The Dissertation project spreads over Trinity term. C++ programming is taught in two parts.

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